RECOGNITION OF THE GASTRIC MOLECULAR IMAGE BASED ON DECISION TREE AND DISCRIMINANT ANALYSIS CLASSIFIERS BY USING DISCRETE FOURIER TRANSFORM AND FEATURES

Recognition of the Gastric Molecular Image Based on Decision Tree and Discriminant Analysis Classifiers by using Discrete Fourier Transform and Features

This article presents the development and evaluation of a computerized decision support system (DSS), aiming to Show the feasibility and potential toward maximizing the benefits of a new algorithm by combining the machine-learning techniques which are not used in the literature for automatic recognition of the gastric images.The object of this arti

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Machine learning approaches to predict and detect early-onset of digital dermatitis in dairy cows using sensor data

The present study aimed to employ machine learning algorithms based on sensor behavior data for (1) early-onset detection of digital dermatitis (DD) and (2) DD prediction in dairy cows.Our machine learning mega motion lc100 model, which was based on the Tree-Based Pipeline Optimization Tool (TPOT) automatic machine learning method, for DD detection

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Social enrichment during postnatal development induces transgenerational effects on emotional and reproductive behavior in mice

Across species there is evidence that the quality of the early social environment can have a profound impact on neurobiology and behavior.In the present study we gemplers free shipping explore the effect of communal rearing conditions (3 dams with 3 litters per cage) during the postnatal period on offspring (F1) and grand-offspring (F2) anxiety-lik

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Perceptions about medical male circumcision and sexual behaviours of adults in rural Uganda: a cross sectional study

INTRODUCTION: medical male circumcision is currently recognized as an additional important HIV preventive intervention to reduce the risk of heterosexually acquired HIV infection in men.However, sexual behaviours after medical circumcision can potentially reduce the expected benefits of the practice.This study explored the perceptions about medical

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